I will diligently follow the deep learning course.

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We have prepared video lectures so that more people can understand machine learning and deep learning and solve their own problems using these great tools. Furthermore, we have not only covered the theory, but also implemented the theory using TensorFlow, an open source for machine learning recently released by Google.

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Deep Learning for Everyone - Basic Machine Learning and Deep Learning Course

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Deep Learning(DL)

Reinforcement Learning(RL)

Orientation

Machine Learning Concepts and Terminology

Concept of Linear Regression

Minimize the Linear Regression cost function

Linear Regression of Multiple Inputs (Features)

Logistic (Regression) Classification

Softmax Regression (Multinomial Logistic Regression)

ML in action and some tips

Basic concepts, problems, and solutions of deep learning

Neural Network 1: XOR problem and learning method, Backpropagation

Neural Network 2: ReLU and Initialization (2006/2007 breakthrough)

Convolutional Neural Networks

Recurrent Neural Network

Deep Deep Network Running with GPU on AWS (powered bt AWS)

Use Spot Instances in AWS at low cost without worrying about termination

Running TensorFlow with Google Cloud ML